递归神经网络的范数积模型

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks Pub Date : 1992-06-07 DOI:10.1109/IJCNN.1992.287164

J. Hou, F. Salam

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引用次数: 2

摘要

提出了一种循环人工神经网络模型，该模型可以存储任意数量的任意预设模式作为能量局部最小值。因此，可以存储和检索所有预先指定的模式。总结了该模型的稳定性。然后，他们给出了两个例子，展示了如何将该模型用于图像识别和关联。

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A product-of-norms model for recurrent neural networks

The authors present a model for recurrent artificial neural networks which can store any number of any prespecified patterns as energy local minima. Therefore, all the prespecified patterns can be stored and retrieved. The authors summarize the model's stability properties. They then give two examples, showing how this model can be used in image recognition and association.<>

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[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

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